On Assessing Overall Survival (OS) in Oncology Studies

Fuente: arXiv
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Main Author: Hsu, Jason C.
Format: Preprint
Published: 2025
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author Hsu, Jason C.
author_facet Hsu, Jason C.
contents In assessing Overall Survival (OS) in oncology studies, it is essential for the efficacy measure to be Logic-respecting, for otherwise patients may be incorrectly targeted. This paper explains, while Time Ratio (TR) is Logic-respecting, Hazard Ratio (HR) is not Logic-respecting. With Time Ratio (TR) being recommended, a smooth transitioning strategy is suggested. The conclusion states: Logicality requires, and Subgroup Mixable Estimation (SME) delivers, an efficacy assessment for the overall population within the range of minimum and maximum efficacy in the subgroups, no matter how outcome is measured, whichever logic-respecting efficacy measure is chosen, the same efficacy assessment regardless of how subgroups are stratified.
format Preprint
id arxiv_https___arxiv_org_abs_2510_07122
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On Assessing Overall Survival (OS) in Oncology Studies
Hsu, Jason C.
Methodology
Applications
In assessing Overall Survival (OS) in oncology studies, it is essential for the efficacy measure to be Logic-respecting, for otherwise patients may be incorrectly targeted. This paper explains, while Time Ratio (TR) is Logic-respecting, Hazard Ratio (HR) is not Logic-respecting. With Time Ratio (TR) being recommended, a smooth transitioning strategy is suggested. The conclusion states: Logicality requires, and Subgroup Mixable Estimation (SME) delivers, an efficacy assessment for the overall population within the range of minimum and maximum efficacy in the subgroups, no matter how outcome is measured, whichever logic-respecting efficacy measure is chosen, the same efficacy assessment regardless of how subgroups are stratified.
title On Assessing Overall Survival (OS) in Oncology Studies
topic Methodology
Applications
url https://arxiv.org/abs/2510.07122